Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10076.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:00:19.562688Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T22:20:42.125777Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e85c48a5-6869-4fa6-a91f-b814b854d16e · inbound
Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models cites this paper.
Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:00:19.562688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b32a5a6-4755-4905-9105-396e7f51330a · inbound
LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind cites this paper.
LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:20:42.128095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c6075809-7775-4133-9674-f51617e2ac09 · inbound
A Comparative Study of CNN Optimization Methods for Edge AI: Exploring the Role of Early Exits cites this paper.
A Comparative Study of CNN Optimization Methods for Edge AI: Exploring the Role of Early Exits QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:44:37.860235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f490cb86-8e3d-4172-bceb-09c3baccc34d · inbound
StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration cites this paper.
StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T01:10:03.032181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.